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.) for integrating real-time feedback systems (e.g. haptics, sensors, etc.); (b) familiarity with embedded systems and communication protocols (e.g. CAN, I2C, SPI, etc.) in automotive or HCI applications; and (c
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, applicants should have: (a) experience in HCI, Psychology, UX Design and MCU programming (e.g. Arduino, STM32, ESP32, etc.) for integrating real-time feedback systems (e.g. haptics, sensors, etc.); (b
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. haptics, sensors, etc.); (b) familiarity with embedded systems and communication protocols (e.g. CAN, I2C, SPI, etc.) in automotive or HCI applications; and (c) experience with sensor fusion
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using Learning Algorithms & Dialog Data (S.H.I.E.L.D.)”. They will be required to: (a) develop machine learning models to predict optimal rehabilitation solutions; (b) use AI algorithms to detect
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secure, regulatory-compliant development platforms capable of ingesting, curating and continuously learning from multi-center hepatocellular carcinoma datasets; (c) create innovative algorithms/systems
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months] Duties The appointees will assist the project leader in the research project – “Multi-sensor-based smart sorting (MSS) system for solid waste recycling and sustainable development”. Qualifications
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machine learning-enhanced algorithm incorporating domain knowledge for sustainable maritime transport”. Qualifications Applicants should have: (a) an honours degree, preferably in mathematics, logistics
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) write code and conduct research on causal reasoning, bias mitigation and interpretability in Large Language Models (LLM); (b) design and implement algorithms or frameworks for enhancing
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the throughput and reliability of Low-Power Wide-Area Networks; (b) implement algorithms and carry out performance evaluation; and (c) perform any other duties as assigned by the project leader, the Head of